Data Scientist III (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist III in the United States.

This role provides an opportunity to apply advanced AI/ML techniques to large-scale clinical and pathology datasets, enabling the development of innovative diagnostic tools. The successful candidate will work closely with cross-functional teams to design, implement, and evaluate machine learning models that predict clinical outcomes and pathological features. This position combines deep technical expertise with collaborative problem-solving, requiring clear communication of complex concepts to both technical and non-technical stakeholders. The role offers exposure to cutting-edge computer vision and foundation models, as well as the chance to contribute to high-impact healthcare applications. Candidates will thrive in a fast-paced, research-driven environment where innovation, rigor, and storytelling with data are central to success.

Accountabilities:

• Develop digital pathology AI models using whole-slide images to predict clinical and pathological outcomes
• Adapt and implement state-of-the-art AI/ML foundation models for real-world clinical datasets
• Evaluate model performance in relation to clinical, pathological, and genomic outcomes, linking explainability to biological insights
• Design experiments to compare and optimize AI/ML methodologies and document results
• Collaborate with internal and external stakeholders to understand clinical and business requirements and tailor models accordingly
• Work alongside bioinformaticians, statisticians, and medical experts to generate analyses, visualizations, and publication-quality figures
• Communicate findings effectively to both technical and non-technical audiences through presentations and academic writing

Requirements

• PhD in Data Science, Machine Learning, Applied Math, or a related field
• 5+ years of experience in a data or applied scientist role
• Expertise in Python (or equivalent) for AI/ML development, including data manipulation and preparation
• Experience with statistical analysis, survival modeling, and multivariate regression with interaction effects
• Proficiency in cloud computing environments (AWS preferred)
• Strong communication skills with attention to detail when summarizing and presenting findings
• Ability to work independently and collaboratively in a fast-paced, research-driven environment
• Eagerness to learn new technologies and adapt to evolving project requirements
• Preferred: knowledge of cancer biology, experience with real-world clinical data, and familiarity with regulated diagnostic environments (LDT/IVD)

Benefits

• Competitive base salary ($130,000 - $171,000 USD) and potential discretionary bonuses or equity
• Health insurance (medical, dental, vision) and retirement plans
• Flexible remote-friendly work environment with optional on-site collaboration spaces
• Opportunities for professional development and career growth
• Inclusive, mission-driven culture recognized as a Certified Great Place to Work®

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile undergoes an AI-powered screening designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the role's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, the three candidates with the highest match are automatically shortlisted.

🧠 When needed, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are determined by their internal hiring team.

Thank you for your interest!